知识图谱论文趋势 2023–2026

图谱嵌入与推理

统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 1,715 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

知识图谱论文数,按年份和会议
年份NeurIPSICLRICMLCVPR合计
202376787261287
202415312010350426
20251541729941466
202613320114953536

代表论文

按年份和会议均匀挑选,方便快速看到每一届的样貌

全部知识图谱论文

共 516 篇,第 7 / 11 页

  1. NeurIPS 2024BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages
  2. NeurIPS 2024Boosting Graph Pooling with Persistent Homology
  3. NeurIPS 2024Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models
  4. NeurIPS 2024Challenges of Generating Structurally Diverse Graphs
  5. NeurIPS 2024CIFD: Controlled Information Flow to Enhance Knowledge Distillation
  6. NeurIPS 2024Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention
  7. NeurIPS 2024Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding
  8. NeurIPS 2024Co-occurrence is not Factual Association in Language Models
  9. NeurIPS 2024Compact Language Models via Pruning and Knowledge Distillation
  10. NeurIPS 2024ConceptFactory: Facilitate 3D Object Knowledge Annotation with Object Conceptualization
  11. NeurIPS 2024Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model
  12. NeurIPS 2024Continuous Product Graph Neural Networks
  13. NeurIPS 2024Cost-efficient Knowledge-based Question Answering with Large Language Models
  14. NeurIPS 2024CSPG: Crossing Sparse Proximity Graphs for Approximate Nearest Neighbor Search
  15. NeurIPS 2024DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph
  16. NeurIPS 2024DDK: Distilling Domain Knowledge for Efficient Large Language Models
  17. NeurIPS 2024Decoupled Kullback-Leibler Divergence Loss
  18. NeurIPS 2024DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach
  19. NeurIPS 2024Deep Graph Mating
  20. NeurIPS 2024Deep Homomorphism Networks
  21. NeurIPS 2024Deep Submodular Peripteral Networks
  22. NeurIPS 2024DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge
  23. NeurIPS 2024Dissecting the Failure of Invariant Learning on Graphs
  24. NeurIPS 2024DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
  25. NeurIPS 2024Efficient Graph Matching for Correlated Stochastic Block Models
  26. NeurIPS 2024Embedding Dimension of Contrastive Learning and $k$-Nearest Neighbors
  27. NeurIPS 2024Embedding-Aligned Language Models
  28. NeurIPS 2024Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism
  29. NeurIPS 2024End-to-End Ontology Learning with Large Language Models
  30. NeurIPS 2024Enhancing Graph Transformers with Hierarchical Distance Structural Encoding
  31. NeurIPS 2024Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters
  32. NeurIPS 2024Even Sparser Graph Transformers
  33. NeurIPS 2024Exploring Consistency in Graph Representations: from Graph Kernels to Graph Neural Networks
  34. NeurIPS 2024Exponential Quantum Communication Advantage in Distributed Inference and Learning
  35. NeurIPS 2024EyeGraph: Modularity-aware Spatio Temporal Graph Clustering for Continuous Event-based Eye Tracking
  36. NeurIPS 2024FairWire: Fair Graph Generation
  37. NeurIPS 2024Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers
  38. NeurIPS 2024FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection
  39. NeurIPS 2024FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction
  40. NeurIPS 2024FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
  41. NeurIPS 2024Finding good policies in average-reward Markov Decision Processes without prior knowledge
  42. NeurIPS 2024FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge
  43. NeurIPS 2024FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features
  44. NeurIPS 2024G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
  45. NeurIPS 2024Generalizing CNNs to graphs with learnable neighborhood quantization
  46. NeurIPS 2024Generative Modelling of Structurally Constrained Graphs
  47. NeurIPS 2024Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures
  48. NeurIPS 2024Graph Classification via Reference Distribution Learning: Theory and Practice
  49. NeurIPS 2024Graph Coarsening with Message-Passing Guarantees
  50. NeurIPS 2024Graph neural networks and non-commuting operators

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查知识图谱在 ICLR 2023–2026 的论文趋势,哪一年涨得最快?

AI 会调用的工具:get_topic_stats {"topic": "knowledge-graphs"}

两分钟接入 Paperlist MCP(Claude Code、Cursor、Codex、ChatGPT)

常见问题

2023–2026 年四大会议一共有多少篇知识图谱论文?
共 1,715 篇,按年份分别是 2023 年 287 篇、2024 年 426 篇、2025 年 466 篇、2026 年 536 篇。
NeurIPS 2026 有多少篇知识图谱论文?
NeurIPS 2026 有 133 篇知识图谱论文,上一届是 154 篇。
ICLR 2026 有多少篇知识图谱论文?
ICLR 2026 有 201 篇知识图谱论文,上一届是 172 篇。
ICML 2026 有多少篇知识图谱论文?
ICML 2026 有 149 篇知识图谱论文,上一届是 99 篇。
CVPR 2026 有多少篇知识图谱论文?
CVPR 2026 有 53 篇知识图谱论文,上一届是 41 篇。
哪个会议的知识图谱论文最多?
ICLR,2023–2026 年共 571 篇。

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